Association of milk consumption with all-cause mortality and cardiovascular outcomes: a UK Biobank based large population cohort study

J Transl Med. 2023 Feb 18;21(1):130. doi: 10.1186/s12967-023-03980-4.

Abstract

Background: The association of milk consumption with mortality and cardiovascular disease (CVD) outcomes was unclear.

Objective: The present study was performed to reveal the association of full cream, semi-skimmed, skimmed, soy, and other milk with all-cause mortality and CVD outcomes.

Methods: A prospective cohort study was performed using data from the UK Biobank. This study recruited 450,507 participants without CVD at baseline between 2006 and 2010 from UK Biobank and followed them up through 2021. Cox proportional hazard models were adopted to calculate the hazard ratios (HRs) and 95% confidence interval (CI) to understand the correlation between milk consumption and clinical outcomes. Subgroup and sensitivity analyses were further conducted.

Results: Among the participants, 435,486 (96.7%) were milk consumers. Multivariable model indicated that the adjusted HR of association between milk consumption and all-cause mortality was 0.84 (95% CI 0.79 to 0.91; P = 0.000) for semi-skimmed milk; 0.82 (0.76 to 0.88; P = 0.000) for skimmed milk and 0.83 (0.75 to 0.93; P = 0.001) for soy milk. Semi-skimmed, skimmed, and soy milk use were significantly related to lower risks of CVD mortality, CVD event, and stroke.

Conclusion: Compared with non-milk users, semi-skimmed milk, skimmed milk, and soy milk consumption were related to a lower risk of all-cause mortality and CVD outcomes. Among them, skim milk consumption was more beneficial for all-cause mortality, while soy milk consumption was more beneficial for CVD outcomes.

Keywords: Cardiovascular outcome; Milk type; Mortality; Prospective study.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biological Specimen Banks*
  • Cardiovascular Diseases*
  • Cohort Studies
  • Humans
  • Prospective Studies
  • Risk Factors
  • United Kingdom / epidemiology